Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter
This paper presents a fault detection and isolation (FDI) method for open-circuit faults of power semiconductor devices in a modular multilevel converter (MMC). The proposed FDI method is simple with only one sliding mode observer (SMO) equation and requires no additional transducers. The method is...
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IEEE
2016
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| Online Access: | https://eprints.nottingham.ac.uk/33361/ |
| _version_ | 1848794614267379712 |
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| author | Shao, Shuai Watson, Alan James Clare, Jon C. Wheeler, Patrick |
| author_facet | Shao, Shuai Watson, Alan James Clare, Jon C. Wheeler, Patrick |
| author_sort | Shao, Shuai |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper presents a fault detection and isolation (FDI) method for open-circuit faults of power semiconductor devices in a modular multilevel converter (MMC). The proposed FDI method is simple with only one sliding mode observer (SMO) equation and requires no additional transducers. The method is based on an SMO for the circulating current in an MMC. An open-circuit fault of power semiconductor device is detected when the observed circulating current diverges from the measured one. A fault is located by employing an assumption-verification process. To improve the robustness of the proposed FDI method, a new technique based on the observer injection term is introduced to estimate the value of the uncertainties and disturbances, this estimated value can be used to compensate the uncertainties and disturbances. As a result, the proposed FDI scheme can detect and locate an open-circuit fault in a power semiconductor device while ignoring parameter uncertainties, measurement error and other bounded disturbances. The FDI scheme has been implemented in a field programmable gate array (FPGA) using fixed point arithmetic and tested on a single phase MMC prototype. Experimental results under different load conditions show that an open-circuit faulty power semiconductor device in an MMC can be detected and located in less than 50ms. |
| first_indexed | 2025-11-14T19:18:59Z |
| format | Article |
| id | nottingham-33361 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:18:59Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-333612020-05-04T20:02:55Z https://eprints.nottingham.ac.uk/33361/ Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter Shao, Shuai Watson, Alan James Clare, Jon C. Wheeler, Patrick This paper presents a fault detection and isolation (FDI) method for open-circuit faults of power semiconductor devices in a modular multilevel converter (MMC). The proposed FDI method is simple with only one sliding mode observer (SMO) equation and requires no additional transducers. The method is based on an SMO for the circulating current in an MMC. An open-circuit fault of power semiconductor device is detected when the observed circulating current diverges from the measured one. A fault is located by employing an assumption-verification process. To improve the robustness of the proposed FDI method, a new technique based on the observer injection term is introduced to estimate the value of the uncertainties and disturbances, this estimated value can be used to compensate the uncertainties and disturbances. As a result, the proposed FDI scheme can detect and locate an open-circuit fault in a power semiconductor device while ignoring parameter uncertainties, measurement error and other bounded disturbances. The FDI scheme has been implemented in a field programmable gate array (FPGA) using fixed point arithmetic and tested on a single phase MMC prototype. Experimental results under different load conditions show that an open-circuit faulty power semiconductor device in an MMC can be detected and located in less than 50ms. IEEE 2016-05 Article PeerReviewed Shao, Shuai, Watson, Alan James, Clare, Jon C. and Wheeler, Patrick (2016) Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter. IEEE Transactions on Power Electronics, 31 (5). pp. 3794-3804. ISSN 0885-8993 Fault detection and isolation modular multilevel converter sliding mode observer http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7172539 doi:10.1109/TPEL.2015.2462717 doi:10.1109/TPEL.2015.2462717 |
| spellingShingle | Fault detection and isolation modular multilevel converter sliding mode observer Shao, Shuai Watson, Alan James Clare, Jon C. Wheeler, Patrick Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title | Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title_full | Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title_fullStr | Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title_full_unstemmed | Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title_short | Robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| title_sort | robustness analysis and experimental validation of a fault detection and isolation method for the modular multilevel converter |
| topic | Fault detection and isolation modular multilevel converter sliding mode observer |
| url | https://eprints.nottingham.ac.uk/33361/ https://eprints.nottingham.ac.uk/33361/ https://eprints.nottingham.ac.uk/33361/ |